Explore the realm of data mining, its methods, and the benefits it offers. Convert raw data into valuable insights. Dive into our presentation for further information. Source: https://bit.ly/42BI17Y

1. And its Techniques
DATA
MINING

2. • Definition: Data mining is the process of extracting knowledge
or insights from massive amounts of data through statistical
and computational techniques.
• Objective: Finding hidden patterns and relationships in data to
make predictions or informed decisions.
• Importance: Enables companies to gain insights into clientele,
improve revenue, reduce costs, and develop effective
marketing strategies.
Introduction to Data Mining

3. How Data Mining Works
• Process: Examining and evaluating big
data blocks to find significant patterns
and trends.
• Applications: Fraud detection, credit
risk management, spam filtering,
market research, etc.
• Steps:
• Data Gathering and Loading
• Data Organization and Planning
• Custom Application Software
Utilization

4. • Association Rules
• Classification
• Clustering
• Decision Trees
• K-Nearest Neighbor (KNN)
• Neural Networks
• Predictive Analysis
Data Mining Techniques

5. Data Mining
Process
• Understand the
Business
• Understand the Data
• Prepare the Data
• Build the Model
• Evaluate the Results
• Implement Change and
Monitor

6. Thank's For Watching
www.reallygreatsite.com
team@agiledock.com
41-42, Pu4, Scheme No 54,
Behind C21 Mall, Vijay Nagar,
Indore, Madhya Pradesh-
452010
7024217659